sihteek mohamed arsath (arsath-eng)

arsath-eng

Geek Repo

Location:Sri Lanka, Trincomalee, Pulmoddai

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sihteek mohamed arsath's repositories

arsath-eng-Gemma-model-En-Ta

A lightweight and efficient English to Tamil translation model implementation using Google's Gemma 2b. This project aims to bridge language barriers while maintaining cultural nuances and context.

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RAG1-NVIDIA-GENAI

A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.

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AI-Spell-Checker

This app uses the GenerativeAI library to correct spelling mistakes in the input text.

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arsath-eng

Welcome to my GitHub portfolio! I'm a Computer Engineering student specializing in Machine Learning and Full-Stack Development. This repository showcases my projects, skills, and journey in tech.

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Auth-Testing

A comprehensive authentication solution that demonstrates best practices for implementing user authentication in Next.js applications. Features include social login with Google and GitHub, MongoDB integration for user management, protected routes, and a responsive UI built with Tailwind CSS.

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credit-card-fraud-detection

This project is an end-to-end machine learning solution for detecting fraudulent transactions in credit card data, based on the Credit Card Fraud Detection dataset from Kaggle.

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face_classification

a deep learning project that uses ResNet and Inception architectures to classify real vs AI-generated face images. The project includes two models trained on a custom dataset, achieving validation accuracies of 52.45% (ResNet) and 52.94% (Inception). Built with TensorFlow and Flask, and a web interface for real time face classification

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pyspellchecker

Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/

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ToDo-next.js

A modern, full-stack Todo application built with Next.js 14, MongoDB, and TailwindCSS featuring real-time updates and a responsive design. 📱✨

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